| 2025 | AAAI | SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. | Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng |
| 2025 | CVPR | VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network. | Kang You, Ziling Wei, Jing Yan, Boning Zhang, Qinghai Guo, Yaoyu Zhang, Zhezhi He |
| 2025 | ICASSP | Explicit Mutual Information Maximization for Self-Supervised Learning. | Lele Chang, Peilin Liu, Qinghai Guo, Fei Wen |
| 2025 | IJCNN | Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks. | Kejie Zhao, Wenjia Hua, Aiersi Tuerhong, Luziwei Leng, Yuxin Ma, Qinghai Guo |
| 2024 | ECCV | BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation. | Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He |
| 2024 | ICML | SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. | Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He |
| 2024 | ICML | Sample as you Infer: Predictive Coding with Langevin Dynamics. | Umais Zahid, Qinghai Guo, Zafeirios Fountas |
| 2023 | CVPR | Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation. | Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He |
| 2023 | ICCV | Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling. | Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo |
| 2023 | ICIP | Cross-Inferential Networks for Source-Free Unsupervised Domain Adaptation. | Yushun Tang, Qinghai Guo, Zhihai He |
| 2023 | ICLR | Hebbian Deep Learning Without Feedback. | Adrien Journ, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis |
| 2023 | MICCAI | Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization. | Chunli Sun, Qinghai Guo, Gang Yang, Feng Zhao |
| 2022 | CVPR | Discrete time convolution for fast event-based stereo. | Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng |
| 2022 | ICLR | Spike-inspired rank coding for fast and accurate recurrent neural networks. | Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis |
| 2022 | ICLR | Variational Predictive Routing with Nested Subjective Timescales. | Alexey Zakharov, Qinghai Guo, Zafeirios Fountas |
| 2022 | ICML | Short-Term Plasticity Neurons Learning to Learn and Forget. | Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis |